Foundational optimization algorithms are the core driving force behind deep learning, evolving from early stochastic gradient descent (SGD) to the widely adopted Adam family. However, as the scale of ...

ABSTRACT: Multi-objective optimization remains a significant and realistic problem in engineering. A trade-off among conflicting objectives subject to equality and inequality constraints is known as ...

In the field of multi-objective evolutionary optimization, prior studies have largely concentrated on the scalability of objective functions, with relatively less emphasis on the scalability of ...

ABSTRACT: Lung cancer stands as the preeminent cause of cancer-related mortality globally. Prompt and precise diagnosis, coupled with effective treatment, is imperative to reduce the fatality rates ...

The dragonfly algorithm is a nature-inspired metaheuristic that mimics the static and dynamic swarming behaviours of dragonflies in prey hunting and predator evasion. Since its introduction, it has ...

Adam Satariano and Roser Toll Pifarre interviewed more than 50 victims, families, police, government officials and other experts about Spain’s gender violence program. In a small apartment outside ...

Abstract: The Dragonfly Algorithm(DA) is a burgeoning swarm intelligence algorithm based on the theory of dragonflies avoiding natural enemies and hunting their food. This algorithm has the benefits ...